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Analyzing importance of continuous and categorical variables in linear regression in R

I am using R. I have a data set with a binary (0,1) response and both continuous and categorical predictors. I would like to test the overall importance of these predictors one by one, and I am ...
brightlilac's user avatar
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Is this variable suitable for a categorical regression (multinomial logistic regression)?

I have created a dataset starting from a series of multiple choice (3 choices) questions. ...
scugn1zz0's user avatar
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Alternatives to logistic regression when dataset can't meet 10 events per predictor variable

I have a dataset with a binary outcome I'd like to model, but have many more parameters than events, probably ~100 categorical parameters to test, in a dataset with 20 events in ~600 observations. As ...
user124123's user avatar
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variable error on logistic regression/ proc catmod- Building predictive model

I am using logistic regression to fit a model with categorical/multinomial varaibles. data-description: There are over 300 variables as independent variables, sample size is 5000 which is divided into ...
batman's user avatar
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